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Article

MovieDIRec: Drafted-Input-Based Recommendation System for Movies

1
Tvstorm, Sunghyun Building, 255 Hyorung-ro, Secho-gu, Seoul 13875, Korea
2
Department of Computer Engineering, Hoseo University, Asan 31499, Korea
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2021, 11(21), 10412; https://doi.org/10.3390/app112110412
Submission received: 8 October 2021 / Revised: 28 October 2021 / Accepted: 4 November 2021 / Published: 5 November 2021
(This article belongs to the Topic Machine and Deep Learning)

Abstract

In a DNN-based recommendation system, the input selection of a model and design of an appropriate input are very important in terms of the accuracy and reflection of complex user preferences. Since the learning of layers by the goal of the model depends on the input, the more closely the input is related to the goal, the less the model needs to learn unnecessary information. In relation to this, the term Drafted-Input, defined in this paper, is input data that have been appropriately selected and processed to meet the goals of the system, and is a subject that is updated while continuously reflecting user preferences along with the learning of model parameters. In this paper, the effects of properly designed and generated inputs on accuracy and usability are verified using the proposed systems. Furthermore, the proposed method and user–item interaction are compared with state-of-the-art systems using simple embedding data as the input, and a model suitable for a practical client–server environment is also proposed.
Keywords: MovieDIRec; drafted-input; personalized recommendation system MovieDIRec; drafted-input; personalized recommendation system

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MDPI and ACS Style

An, H.; Kim, D.; Lee, K.; Moon, N. MovieDIRec: Drafted-Input-Based Recommendation System for Movies. Appl. Sci. 2021, 11, 10412. https://doi.org/10.3390/app112110412

AMA Style

An H, Kim D, Lee K, Moon N. MovieDIRec: Drafted-Input-Based Recommendation System for Movies. Applied Sciences. 2021; 11(21):10412. https://doi.org/10.3390/app112110412

Chicago/Turabian Style

An, Hyeonwoo, Daeyeol Kim, Kwangkee Lee, and Nammee Moon. 2021. "MovieDIRec: Drafted-Input-Based Recommendation System for Movies" Applied Sciences 11, no. 21: 10412. https://doi.org/10.3390/app112110412

APA Style

An, H., Kim, D., Lee, K., & Moon, N. (2021). MovieDIRec: Drafted-Input-Based Recommendation System for Movies. Applied Sciences, 11(21), 10412. https://doi.org/10.3390/app112110412

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